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Introducing FactoryTalk Analytics VisionAI for improving quality inspection

See what you have been missing with AI-driven insight and analytics
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We look forward to seeing you in the Introducing FactoryTalk Analytics VisionAI for improving quality inspection webinar.
Date: Original Event Date: February 19, 2025
Time: 10:00 A.M. - 11:00 A.M. Central Standard Time
Duration: 60 Minutes
Language: English

Overview

Quality is the cornerstone of industrial manufacturing operations, significantly affecting customer satisfaction, brand reputation, and ultimately, profitability. Machine vision plays a crucial role in industrial manufacturing by providing real-time quality control, defect detection, and process monitoring. By utilizing advanced technologies like artificial intelligence and machine learning, machine vision optimizes processes, reduces waste, and enhances product quality. Combining machine vision feedback with advanced closed-loop control strategies allows machines to automatically take corrective actions, minimizing and preventing defects from occurring.

Our new machine vision analytics application, FactoryTalk® Analytics™ VisionAI™, offers a no-code approach to vision inspection, which improves quality, maximizes yield, and provides critical insights from real-time production data. Our solution streamlines the entire workflow — from camera configuration and image capture to model training, deployment, and quality performance analysis—empowering quality personnel and plant operators with the information they need to achieve their quality performance targets.

Cost and quality control concept. Person hold virtual cost and quality icons to Improve work efficiency for quality control and company cost reduction. Successful organization strategy and management

What you will learn

AI, machine learning, and machine vision are enabling industrial manufacturers for quality goals
Machine vision capabilities supports process optimization, robotics, and predictive maintenance
SaaS (Software as a Service) applications enhance anomaly detection in production

Speakers

Todd Montpas
Todd Montpas
Business Manager, Data, Analytics & Industry Solutions - Rockwell Automation
Todd is responsible for the Rockwell Automation Data, Analytics & Industry Solutions portfolio supporting our customer’s Digital Manufacturing Initiatives. Todd has 30+ years of experience helping customers improve their manufacturing and business processes, with a focus on digital transformation.
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Mithun Nagabhairava
Mithun Nagabhairava
Sr. manager - Rockwell Automation Data Science & AI
Mithun is a Senior Manager in Rockwell Automation’s Data Science & AI practice, with over 15 years' experience in digital transformation. His expertise spans Industrial Internet of Things (IIoT), artificial intelligence and machine learning (AI/ML), advanced process control, computer vision, and energy optimization.
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Topics: Optimize Production Packaged Solutions Production Operations Management Artificial intelligence Automotive & Tire Fiber & Textiles Food & Beverage Household & Personal Care Life Sciences Manufacturing FactoryTalk Analytics VisionAI

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